CN106080263B - A kind of optimization method of electric wheel truck chassis system - Google Patents
A kind of optimization method of electric wheel truck chassis system Download PDFInfo
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- CN106080263B CN106080263B CN201610517268.1A CN201610517268A CN106080263B CN 106080263 B CN106080263 B CN 106080263B CN 201610517268 A CN201610517268 A CN 201610517268A CN 106080263 B CN106080263 B CN 106080263B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L15/00—Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles
- B60L15/20—Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed
- B60L15/2009—Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed for braking
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L15/00—Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles
- B60L15/20—Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed
- B60L15/2036—Electric differentials, e.g. for supporting steering vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2220/00—Electrical machine types; Structures or applications thereof
- B60L2220/40—Electrical machine applications
- B60L2220/42—Electrical machine applications with use of more than one motor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2220/00—Electrical machine types; Structures or applications thereof
- B60L2220/40—Electrical machine applications
- B60L2220/44—Wheel Hub motors, i.e. integrated in the wheel hub
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/10—Vehicle control parameters
- B60L2240/12—Speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/46—Drive Train control parameters related to wheels
- B60L2240/461—Speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2250/00—Driver interactions
- B60L2250/26—Driver interactions by pedal actuation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/64—Electric machine technologies in electromobility
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
Abstract
The invention discloses a kind of electric wheel truck chassis system and its optimization method, chassis system includes differential steering module, differential braking module and Active suspension module;Differential steering module includes steering wheel torque rotary angle transmitter, rack and pinion steering gear, two wheel hub motors, vehicle speed sensor, two wheel speed sensors, yaw-rate sensor and differential steering control ECU;Active suspension module includes flexible member, damping element, forcer and guiding mechanism;Differential braking module includes brake pedal position sensor and differential braking control ECU.Under steering/damped condition, using steering response, steering sensitivity, suspension ride comfort as performance indications, using the parameter of three modules of the invention as optimized variable, chassis system is optimized based on the algorithms of NSGA II, system is set to obtain preferable steering response and steering sensitivity while ensure automobile ride, so as to improve the whole synthesis performance of electric wheel truck chassis system.
Description
Technical field
The present invention relates to automobile steering system, suspension system, brakes field, specifically a kind of electric wheel truck chassis
System and its optimization method.
Background technology
This body structure of Electric Motor Wheel technology has good advantage, it is widely used on electric automobile.Due to
Electric Motor Wheel technology eliminates the mechanisms such as speed changer, differential mechanism, simplifies transmission system, not only increases transmission efficiency, and subtract
The interior space that small transmission system takes;Motor and reducing gear are directly become one with wheel, are advantageous to vehicle
Arrangement.
Electric wheel truck is employed different from traditional steering and brake structure, using differential power-assisted steering and differential braking
Technology, by changing the output torque of left and right wheelses wheel hub motor, carry out the force transfering characteristic of control system, realize power-assisted steering work(
Energy;The additional rotation angle provided by wheel hub motor, carrys out the displacement transmission characteristic of control system, realizes active steering function;Pass through
Change input hub current of electric size, control brake drag square size, realize differential braking function.Above-mentioned function is all by taking turns
Hub motor is realized, but because motor and fixed speed ratio deceleration device are formed integrally, tire is directly installed on deceleration device
In output end, in this configuration, Electric Motor Wheel quality is all as nonspring carried mass so that the dynamics of nonspring carried mass
Change, influence ride comfort of the nonspring carried mass in motion process.
Steering, suspension system and brakes are three important subsystems in electric wheel truck chassis, its performance
The vehicle combination property such as control stability, ride comfort and driving safety of electric wheel truck is directly affected, in three subsystems
Dependency structure parameter directly affects its performance indications, so as to influence vehicle combination property.Generally to electric wheel truck chassis three
When the performance of big subsystem optimizes analysis, people's custom is relatively independent influencing each other between them, i.e., to Electric Motor Wheel
Automobile steering system, suspension system and brakes are established relatively independent kinetic model and analyzed.For example, analysis automobile
During the vibration ride comfort of suspension, often ignore the influence of side force of tire and longitudinal force to it;Or in analysis automotive steering
System weaving and ignore vertical factor caused by road roughness input and body vibrations and body roll during lateral movement
Influence.Such analysis simplifies the complexity of kinetic model with hypothesis to a certain extent, reduces the difficulty of performance evaluation
Degree, but the practical performance of electric wheel truck global optimization is decreased simultaneously.
Automobile the yaw velocity of steering situation under body, damped condition under body the performance indications such as the angle of pitch to outstanding
Frame performance has important influence;Turn to simultaneously, the optimization of brakes is also influenceed by suspension optimization.Due to three subsystems
Certain coupled relation between system be present, influence each other between subsystem, mutually restrict, simple serial optimized overlap-add can not
Obtain the optimal whole synthesis performance of integrated system.
The content of the invention
The technical problems to be solved by the invention are to be directed to the defects of involved in background technology, there is provided a kind of Electric Motor Wheel
Automobile chassis system and its optimization method, according to obtained by sensor speed, wheel speed, steering wheel angle, steering moment, yaw
The information such as angular speed, brake pedal position, road surface input, under steering/damped condition, consider to turn to yaw moment and lateral
Power, the braking influence such as longitudinal force and the angle of pitch, suspension roll, tire vertical load, road excitation and differential steering module machinery
The influences of the factor to electric wheel truck overall performance such as parameter, Active suspension modular structure parameter, differential braking mechanical parameter, it is right
Chassis system optimizes.
The present invention uses following technical scheme to solve above-mentioned technical problem:
A kind of electric wheel truck chassis system, include differential steering module, differential braking module and Active suspension module;
The differential steering module include steering wheel torque rotary angle transmitter, rack and pinion steering gear, two wheel hub motors,
Vehicle speed sensor, two wheel speed sensors, yaw-rate sensor and differential steering control ECU;
The steering wheel assembly of automobile is connected by steering column with rack and pinion steering gear, and rack and pinion steering gear passes through steering
The axletree of drag link and vehicle front connects;
The steering wheel torque rotary angle transmitter is arranged on steering column, for obtaining the torque of vehicle steering and turning
Angle;
Described two wheel hub motors are respectively used to the driving and braking of two front-wheels;
The vehicle speed sensor is used for the speed for obtaining automobile;
Described two wheel speed sensors are separately positioned on two front-wheels, are respectively used to obtain the angular speed of two front-wheels;
The yaw-rate sensor is used for the yaw velocity of automobile;
The differential steering control ECU senses with steering wheel torque rotary angle transmitter, two wheel hub motors, speed respectively
Device, two wheel speed sensors, yaw-rate sensors are electrically connected, for the torque according to vehicle steering and corner, car
Speed, angular speed, the yaw velocity of two front-wheels are adjusted, and send current signal to left and right wheel hub motor so that left and right wheels
Hub motor exports different driving moments, to realize differential power-assisted steering;
The Active suspension module includes flexible member, damping element, forcer and guiding mechanism;
The vehicle body of automobile is connected by the guiding mechanism by flexible member, damping element, forcer with vehicle frame;
The differential braking module includes brake pedal position sensor and differential braking control ECU;
The brake pedal position sensor is used to obtain the stroke that automobile brake pedal is depressed;
The differential braking control ECU difference brake pedal position sensor, two wheel hub motors, vehicle speed sensor, two
Individual wheel speed sensors, yaw-rate sensor are electrically connected, for depressed according to brake pedal stroke, speed, two
Angular speed, the yaw velocity of front-wheel are adjusted, and send current signal to left and right wheel hub motor so that left and right wheel hub motor is defeated
Go out different braking moments, to realize differential braking.
The invention also discloses a kind of optimization method of electric wheel truck chassis system, comprise the steps of:
Step 1), establish Active suspension modular model, differential steering modular model, Full Vehicle Dynamics model, differential braking
Modular model, the differential steering modular model include steering wheel model, input shaft and output shaft model, rack-and-pinion model,
Motor model, road surface input model and tire model.
Step 2), under damped condition, using steering response, steering sensitivity and suspension ride comfort as electric wheel truck chassis
The Performance Evaluating Indexes of system, with steering stability, braking deceleration, suspension dynamic loading and spacing shifting for constraints, and build
The object function of the performance indications of vertical differential steering module, differential braking module and Active suspension module:
Step 3), according to the target letter of the performance indications of differential steering module, differential braking module and Active suspension module
Number establishes the Model for Multi-Objective Optimization of electric wheel truck chassis system;
Step 4), optimized variable, performance indications scope and constraint condition and range are set, based on the algorithms of NSGA- II to chassis
System optimizes calculating, obtains Optimal Parameters of the chassis system about the optimized variable, and according to obtaining optimized variable
Optimal Parameters correspond to parameter to chassis system and are adjusted.
As a kind of further prioritization scheme of optimization method of electric wheel truck chassis system of the present invention, the step 2)
In:
1), the object function of differential steering module performance index:
In formula, f1(X) represent differential steering road feel in information of road surface effective frequency range (0, ω0) in frequency domain energy put down
Average;ω0Represent the maximum frequency values of useful signal in information of road surface;E (s) is differential steering road feel transmission function:
In formula, Je、BeRespectively turn to output shaft and rack and pinion steering gear gear structure equivalent moment of inertia, damping;Th
Steering wheel equivalent moment is acted on for driver;TwTo act on the moment of resistance of tire around pivot stud;KsPassed for steering wheel torque
Sensor equivalent stiffness;rδFor the stub lateral offset of left and right two steering front wheel;R is radius of wheel;NlFor steering drag link with
Distance between axletree;Jeq, BeqRespectively wheel hub motor and wheel set equivalent moment of inertia and damping;G is pinion and rack
Gearratio;n2For the gearratio of steering screw to front-wheel;
2), the object function of differential braking module performance index:
In formula, f2(X) represent differential steering sensitivity in information of road surface effective frequency range (0, ω0) in frequency domain energy
Average value;ω0Represent the maximum frequency values of useful signal in information of road surface;For differential steering sensitivity transmission function:
eωFor the distance of wheel center to stub;k1、k2For front-wheel cornering stiffness;Je、BeRespectively turn to output shaft and tooth
Take turns rack steering gear gear structure equivalent moment of inertia, damping;E1For incline of front wheels steer coefficient;δ is front wheel steering angle;θsFor
Steering wheel angle;β is side slip angle;ωrFor yaw velocity;For the angle of pitch;A automobiles barycenter to front axle distance;U is
Automobile speed;
3), the object function of the performance indications of Active suspension module is:
In formula, w0、wi、wj+4For weight;s0、si、sj+4For scale factor;
σ2 xFor the frequency domain energy of three big evaluation index of ride comfort:
σxFor the standard deviation of vibratory response amount,For frequency,As amplitude versus frequency characte Gx(f) it is response quautity power spectral density,For the power spectral density of road surface input quantity;
For body vibrations acceleration transmission function:
For suspension dynamic deflection transmission function:
It is the relative dynamic loading transmission function of wheel:
m1iFor tire quality;m2iFor spring carried mass;k1iFor tire equivalent stiffness;k2iFor active suspension rate;c2iBased on
Dynamic suspension damping;Subscript i is f or r, and f, r represent front and rear wheel respectively.
As a kind of further prioritization scheme of optimization method of electric wheel truck chassis system of the present invention, the step 3)
The Model for Multi-Objective Optimization f (X) of middle electric wheel truck chassis system is:
In formula, f1(X) object function of differential steering module performance index is represented;f2(X) differential braking module performance is represented
The object function of index;f3(X) object function of the performance indications of Active suspension module is represented;ω0Represent useful in information of road surface
The maximum frequency values of signal, ω is taken in optimization design0=40Hz;Wi、w0、wi、wj+4For weight;Si、s0、si、sj+4For ratio because
Son;σxFor the standard deviation of vibratory response amount.
As a kind of further prioritization scheme of optimization method of electric wheel truck chassis system of the present invention, the step 4)
The optimized variable of middle setting is:
Output shaft and rack and pinion steering gear pinion structure equivalent moment of inertia J are turned in differential steering moduleeAnd resistance
Buddhist nun Be, steering wheel torque sensor equivalent stiffness Ks, wheel hub motor and wheel set in differential steering module and differential braking module
Equivalent moment of inertia JeqWith damping Beq, suspension rate coefficient k in Active suspension module2f、k2r, and suspension damping coefficient c2f、
c2f。
As a kind of further prioritization scheme of optimization method of electric wheel truck chassis system of the present invention, the step 4)
The constraints scope of middle setting is:
(1) in optimization process, the denominator of differential steering sensitivity transmission function should meet the constraint bar of Routh criterions
Part;
(2) in optimization process, braking deceleration should meet a≤μrg;
(3) in optimization process, to prevent from resonating, suspension dynamic deflection ensures:fcr=(0.6~0.8) fcf, in formula: fcf
=mfg/k2f, fcr=mrg/k2r;
(4) in optimization process, according to the requirement of spacing shifting, relative damping factor meets ξ ∈ [0.25,0.35], wherein,
As a kind of further prioritization scheme of optimization method of electric wheel truck chassis system of the present invention, the step 4)
The scope of the performance indications of middle setting is:
In optimization process, the object function of differential braking module performance index should meet 0.006≤f2(X)≤0.021。
The present invention compared with prior art, has following technique effect using above technical scheme:
1. a kind of electric wheel truck chassis system proposed by the present invention takes into full account differential steering module, Active suspension mould
The relation that intercouples between block, differential braking module and module, while consider the integrated feature of steering, suspension and braking system
And the influence of road surface input carries out the system integration, the degree of integration of electric wheel truck is improved, between more preferable analysis system
Coupled relation and interaction;
2. the present invention carries out multiple-objection optimization using differential steering road feel, differential steering sensitivity, suspension ride comfort as target,
Not only it is contemplated that the optimization of single subsystem, and global optimization parameter can be set, improve the entirety of electric wheel truck
Optimization ability;
3. the present invention can be on the basis of vehicle ride performance, control stability and security be ensured, effective coordination
Contradiction between ride performance and control stability of the vehicle under steering and damped condition, make vehicle equal under various operating modes
The matched well of ride performance and operational stability can be realized, effectively improves Full Vehicle Dynamics performance, is the collection on chassis
Provided fundamental basis into design and optimization.
Brief description of the drawings
Fig. 1 is differential steering of the present invention and differential braking module arrangement schematic diagram;
Fig. 2 is Active suspension module arrangement schematic diagram of the present invention;
Fig. 3 is chassis system Optimizing Flow figure of the present invention.
In figure, 1- steering wheel assemblies, 2- torque rotary angle transmitters, 3- steering wheel output shafts, 4- rack and pinion steering gears, 5-
Track rod, 6- wheel hub motors, 7- wheels.
Embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings:
The invention discloses a kind of electric wheel truck chassis system, comprising differential steering module, differential braking module and
Active suspension module.
As shown in figure 1, differential steering module includes steering wheel torque rotary angle transmitter, rack and pinion steering gear, two wheels
Hub motor, vehicle speed sensor, two wheel speed sensors, yaw-rate sensor and differential steering control ECU;The direction of automobile
Disc assembly is connected by steering column with rack and pinion steering gear, and rack and pinion steering gear passes through track rod and vehicle front
Axletree connects;Steering wheel torque rotary angle transmitter is arranged on steering column, for obtaining torque and the corner of vehicle steering;Two
Individual wheel hub motor is respectively used to drive two front-drives;Vehicle speed sensor is used for the speed for obtaining automobile;Two wheel speed sensings
Device is separately positioned on two front-wheels, is respectively used to obtain the angular speed of two front-wheels;Yaw-rate sensor is used for automobile
Yaw velocity;Differential steering control ECU senses with steering wheel torque rotary angle transmitter, two wheel hub motors, speed respectively
Device, two wheel speed sensors, yaw-rate sensors are electrically connected, for the torque according to vehicle steering and corner, car
Speed, angular speed, the yaw velocity of two front-wheels are adjusted, and send current signal to left and right wheel hub motor so that left and right wheels
Hub motor exports different torques, to realize differential power-assisted steering.
As shown in Fig. 2 Active suspension module includes flexible member, damping element, forcer and guiding mechanism, Guiding machine
The vehicle body of automobile is connected by structure by flexible member, damping element, forcer with vehicle frame.
Differential braking module includes brake pedal position sensor and differential braking control ECU;Brake pedal position senses
Device is used for the stroke depressed for obtaining automobile brake pedal;Differential braking control ECU difference brake pedal position sensor, two
Wheel hub motor, vehicle speed sensor, two wheel speed sensors, yaw-rate sensors are electrically connected, for according to brake pedal
Travel speed, angular speed, the yaw velocity of two front-wheels depressed is adjusted, and electric current letter is sent to left and right wheel hub motor
Number so that left and right wheel hub motor exports different torques, to realize differential braking function.
As shown in figure 3, the present invention develops a kind of multiple target integrated optimization method based on electric wheel truck chassis system.
First, Active suspension modular model, differential steering modular model, Full Vehicle Dynamics model, differential braking mould are established
Block models;Then chassis system optimization aim performance function is obtained, determines the parameter that had a great influence in chassis system to performance function
As optimized variable, variable parameter, constraints, the border of performance indications are set, chassis system entered based on the algorithms of NSGA- II
Row multiple-objection optimization.
When establishing model, differential steering modular model includes steering wheel model, input shaft and output shaft model, rack-and-pinion
Model, motor model, road surface input model and tire model.
Under damped condition, using steering response, steering sensitivity and suspension ride comfort as electric wheel truck chassis system
Performance Evaluating Indexes, with steering stability, braking deceleration, suspension dynamic loading and spacing shifting for constraints, and establish differential
The quantitative formula of the Performance Evaluating Indexes of steering module, differential braking module and Active suspension module:
1), differential steering road feel Performance Evaluating Indexes quantitative formula is:
In formula, Je、BeRespectively turn to output shaft and rack and pinion steering gear gear structure equivalent moment of inertia, damping;Th
Steering wheel equivalent moment is acted on for driver;TwTo act on the moment of resistance of tire around pivot stud;E (s) is differential steering
Road feel transmission function;KsFor steering wheel torque sensor equivalent stiffness;rδFor the stub lateral offset of left and right two steering front wheel;
R is radius of wheel;NlThe distance between steering drag link and axletree;Jeq, BeqRespectively wheel hub motor and equivalent turn of wheel set
Dynamic inertia and damping;G is the gearratio of pinion and rack;n2For the gearratio of steering screw to front-wheel;
The object function of differential steering module performance index:
In formula, f1(X) represent differential steering road feel in information of road surface effective frequency range (0, ω0) in frequency domain energy put down
Average;ω0Represent the maximum frequency values of useful signal in information of road surface.
2), differential steering sensitivity behaviour evaluation index quantitative formula is:
In formula, eωFor the distance of wheel center to stub;k1、k2For front-wheel cornering stiffness;Je、BeRespectively turn to output
Axle and rack and pinion steering gear gear structure equivalent moment of inertia, damping;E1For incline of front wheels steer coefficient;δ is front-wheel steer
Angle;β is side slip angle;ωrFor yaw velocity;For the angle of pitch;A automobiles barycenter to front axle distance;U is automobile speed;
The object function of differential braking module performance index:
In formula, f2(X) represent differential steering sensitivity in information of road surface effective frequency range (0, ω0) in frequency domain energy
Average value;ω0Represent the maximum frequency values of useful signal in information of road surface.
3), body vibrations acceleration transmission function:
Suspension dynamic deflection transmission function:
Wheel is with respect to dynamic loading transmission function:
In formula, m1iFor tire quality;m2iFor spring carried mass;k1iFor tire equivalent stiffness;k2iFor active suspension rate;c2i
For active suspension damping;Following table i is f or r, represents front and back wheel relevant parameter respectively;
For Active suspension vibrational system discussed above, road surface inputs by four wheels to system, it is contemplated that
Function of road surface roughness is stationary random process, the vibratory response under linear system stationary random excitation, including body vibrations plus
SpeedThe dynamic deflection δ of suspensiondWith dynamic wheel load FdThree vibratory response amounts, their power spectral density and road surface input quantity
Power spectral density be represented by:
In formula:For frequency,As amplitude versus frequency characteGx(f) it is response quautity power
Spectrum density;For the power spectral density of road surface input quantity;
Due to body vibrations accelerationThe dynamic deflection δ of suspensiondWith dynamic wheel load FdThree vibratory responses measure just,
The probability of negative value is identical, so its mean approximation is zero.Therefore according to random vibration theory, response mean-square value is that Active suspension is put down
Pliable Performance Evaluating Indexes quantitative formula is:
In formula, σxFor the standard deviation of vibratory response amount.
The object function of the performance indications of Active suspension module is:
In formula, w0、wi、wj+4For weight;s0、si、sj+4For scale factor.
Using steering response, steering sensitivity, suspension ride comfort as optimization aim, with steering stability, braking deceleration, hang
Frame dynamic loading and spacing move are constraints, establish the Model for Multi-Objective Optimization of electric wheel truck chassis system, its optimization aim
Function f (X) is:
In formula, f1(X) object function of the performance indications of differential steering module is represented;f2(X) differential steering module is represented
The object function of performance indications;f3(X) object function of the performance indications of Active suspension module is represented;ω0Represent in information of road surface
The maximum frequency values of useful signal, ω is taken in optimization design0=40Hz;Wi、w0、wi、wj+4For weight;Si、s0、si、sj+4For than
The example factor;σxFor the standard deviation of vibratory response amount.
The scope of performance indications is:
In optimization process, the object function of differential braking module performance index should meet 0.006≤f2(X)≤0.021。
The multiple-objection optimization constraints of electric wheel truck chassis system is:
(1) in optimization process, the denominator of differential steering sensitivity transmission function should meet the constraint bar of Routh criterions
Part;
(2) in optimization process, braking deceleration should meet a≤μrg;
(3) in optimization process, to prevent from resonating, suspension dynamic deflection ensures:fcr=(0.6~0.8) fcf, in formula: fcf
=mfg/k2f, fcr=mrg/k2r;
(4) in optimization process, according to the requirement of spacing shifting, relative damping factor meets ξ ∈ [0.25,0.35], wherein,
Output shaft and rack and pinion steering gear pinion structure equivalent moment of inertia J will be turned in differential steering moduleeWith
Damp Be, steering wheel torque sensor equivalent stiffness Ks, wheel hub motor and wheel are total in differential steering module and differential braking module
Into equivalent moment of inertia JeqWith damping Beq, suspension rate coefficient k in Active suspension module2f、k2r, suspension damping coefficient c2f、c2f
For the design variable of electric wheel truck chassis system.
Optimized variable, performance indications scope, constraints scope are set, based on the algorithm algorithms of NSGA- II, with isight
Software, design is optimized to chassis system, if meeting chassis system best performance, obtains chassis system Optimal Parameters,
Otherwise return and re-start calculating, untill chassis system performance is optimal, finally give chassis system Optimal Parameters.
Those skilled in the art of the present technique are it is understood that unless otherwise defined, all terms used herein (including skill
Art term and scientific terminology) with the general understanding identical meaning with the those of ordinary skill in art of the present invention.Also
It should be understood that those terms defined in such as general dictionary should be understood that with the context of prior art
The consistent meaning of meaning, and unless defined as here, will not be explained with the implication of idealization or overly formal.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not limited to this hair
It is bright, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., it should be included in the present invention
Protection domain within.
Claims (5)
1. a kind of optimization method of electric wheel truck chassis system, the electric wheel truck chassis system includes differential steering mould
Block, differential braking module and Active suspension module;
The differential steering module includes steering wheel torque rotary angle transmitter, rack and pinion steering gear, two wheel hub motors, speeds
Sensor, two wheel speed sensors, yaw-rate sensor and differential steering control ECU;
The steering wheel assembly of automobile is connected by steering column with rack and pinion steering gear, and rack and pinion steering gear is by turning to horizontal drawing
The axletree of bar and vehicle front connects;
The steering wheel torque rotary angle transmitter is arranged on steering column, for obtaining torque and the corner of vehicle steering;
Described two wheel hub motors are respectively used to the driving and braking of two front-wheels;
The vehicle speed sensor is used for the speed for obtaining automobile;
Described two wheel speed sensors are separately positioned on two front-wheels, are respectively used to obtain the angular speed of two front-wheels;
The yaw-rate sensor is used for the yaw velocity of automobile;
Differential steering control ECU respectively with steering wheel torque rotary angle transmitter, two wheel hub motors, vehicle speed sensor, two
Individual wheel speed sensors, yaw-rate sensor are electrically connected, for the torque according to vehicle steering and corner, speed, two
Angular speed, the yaw velocity of individual front-wheel are adjusted, and send current signal to left and right wheel hub motor so that left and right wheel hub motor
Different driving moments is exported, to realize differential power-assisted steering;
The Active suspension module includes flexible member, damping element, forcer and guiding mechanism;
The vehicle body of automobile is connected by the guiding mechanism by flexible member, damping element, forcer with vehicle frame;
The differential braking module includes brake pedal position sensor and differential braking control ECU;
The brake pedal position sensor is used to obtain the stroke that automobile brake pedal is depressed;
The differential braking control ECU difference brake pedal position sensor, two wheel hub motors, vehicle speed sensor, two wheels
Fast sensor, yaw-rate sensor are electrically connected, for stroke, speed, two front-wheels depressed according to brake pedal
Angular speed, yaw velocity be adjusted, current signal is sent to left and right wheel hub motor so that left and right wheel hub motor export not
Same braking moment, to realize differential braking;
Characterized in that, the optimization method comprises the steps of:
Step 1), establish Active suspension modular model, differential steering modular model, Full Vehicle Dynamics model, differential braking module
Model, the differential steering modular model include steering wheel model, input shaft and output shaft model, rack-and-pinion model, motor
Model, road surface input model and tire model;
Step 2), under damped condition, using steering response, steering sensitivity and suspension ride comfort as electric wheel truck chassis system
Performance Evaluating Indexes, with steering stability, braking deceleration, suspension dynamic loading and spacing shifting for constraints, and establish difference
The object function of the performance indications of fast steering module, differential braking module and Active suspension module:
1), the object function of differential steering module performance index:
<mrow>
<msub>
<mi>f</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>2</mn>
<msub>
<mi>&pi;&omega;</mi>
<mn>0</mn>
</msub>
</mrow>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>&omega;</mi>
<mn>0</mn>
</msub>
</msubsup>
<mo>|</mo>
<mi>E</mi>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
<msubsup>
<mo>|</mo>
<mrow>
<mi>s</mi>
<mo>=</mo>
<mi>j</mi>
<mi>&omega;</mi>
</mrow>
<mn>2</mn>
</msubsup>
<mi>d</mi>
<mi>&omega;</mi>
</mrow>
In formula, f1(X) represent differential steering road feel in information of road surface effective frequency range (0, ω0) in frequency domain energy average value;
ω0Represent the maximum frequency values of useful signal in information of road surface;E (s) is differential steering road feel transmission function:
<mrow>
<mi>E</mi>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
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<mi>T</mi>
<mi>h</mi>
</msub>
<mrow>
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<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>T</mi>
<mi>w</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<msub>
<mi>K</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>J</mi>
<mi>e</mi>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>r</mi>
<mi>&delta;</mi>
</msub>
<mrow>
<msub>
<mi>rN</mi>
<mi>l</mi>
</msub>
</mrow>
</mfrac>
<msub>
<mi>n</mi>
<mn>2</mn>
</msub>
<msub>
<mi>GJ</mi>
<mrow>
<mi>e</mi>
<mi>q</mi>
</mrow>
</msub>
<mo>)</mo>
<msup>
<mi>s</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<mo>(</mo>
<msub>
<mi>B</mi>
<mi>e</mi>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>r</mi>
<mi>&delta;</mi>
</msub>
<mrow>
<msub>
<mi>rN</mi>
<mi>l</mi>
</msub>
</mrow>
</mfrac>
<msub>
<mi>n</mi>
<mn>2</mn>
</msub>
<msub>
<mi>GB</mi>
<mrow>
<mi>e</mi>
<mi>q</mi>
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</msub>
<mo>)</mo>
<mi>s</mi>
<mo>+</mo>
<msub>
<mi>K</mi>
<mi>s</mi>
</msub>
</mrow>
</mfrac>
</mrow>
In formula, Je、BeRespectively turn to output shaft and rack and pinion steering gear gear structure equivalent moment of inertia, damping;ThTo drive
The person of sailing acts on steering wheel equivalent moment;TwTo act on the moment of resistance of tire around pivot stud;KsFor steering wheel torque sensor
Equivalent stiffness;rδFor the stub lateral offset of left and right two steering front wheel;R is radius of wheel;NlFor steering drag link and axletree
Between distance;Jeq, BeqRespectively wheel hub motor and wheel set equivalent moment of inertia and damping;G is the biography of pinion and rack
Dynamic ratio;n2For the gearratio of steering screw to front-wheel;
2), the object function of differential braking module performance index:
<mrow>
<msub>
<mi>f</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>2</mn>
<msub>
<mi>&pi;&omega;</mi>
<mn>0</mn>
</msub>
</mrow>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>&omega;</mi>
<mn>0</mn>
</msub>
</msubsup>
<mrow>
<mo>|</mo>
<mfrac>
<mrow>
<mi>&delta;</mi>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>&theta;</mi>
<mi>s</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<msubsup>
<mo>|</mo>
<mrow>
<mi>s</mi>
<mo>=</mo>
<mi>j</mi>
<mi>&omega;</mi>
</mrow>
<mn>2</mn>
</msubsup>
</mrow>
<mi>d</mi>
<mi>&omega;</mi>
</mrow>
In formula, f2(X) represent differential steering sensitivity in information of road surface effective frequency range (0, ω0) in frequency domain energy be averaged
Value;ω0Represent the maximum frequency values of useful signal in information of road surface;For differential steering sensitivity transmission function:
eωFor the distance of wheel center to stub;k1、k2For front-wheel cornering stiffness;Je、BeRespectively turn to output shaft and gear teeth
Bar steering gear gear structure equivalent moment of inertia, damping;E1For incline of front wheels steer coefficient;δ is front wheel steering angle;θsFor direction
Disk corner;β is side slip angle;ωrFor yaw velocity;For the angle of pitch;A automobiles barycenter to front axle distance;U is automobile
Speed;
3), the object function of the performance indications of Active suspension module:
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>f</mi>
<mn>3</mn>
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<mrow>
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<mi>X</mi>
<mo>)</mo>
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<mo>=</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>0</mn>
</msub>
<msub>
<mi>s</mi>
<mn>0</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
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<mi>Z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mi>s</mi>
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</msub>
<mo>+</mo>
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<mo>&Sigma;</mo>
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<mn>1</mn>
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</munderover>
<mfrac>
<msub>
<mi>w</mi>
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<mi>i</mi>
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<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
</mrow>
</msub>
</msub>
<mo>+</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
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<mn>1</mn>
</mrow>
<mn>4</mn>
</munderover>
<mfrac>
<msub>
<mi>w</mi>
<mrow>
<mi>j</mi>
<mo>+</mo>
<mn>4</mn>
</mrow>
</msub>
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<mi>s</mi>
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<mi>j</mi>
<mo>+</mo>
<mn>4</mn>
</mrow>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mi>j</mi>
</mrow>
</msub>
</msub>
</mrow>
</mtd>
</mtr>
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<mtd>
<mrow>
<mo>=</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>0</mn>
</msub>
<msub>
<mi>s</mi>
<mn>0</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mover>
<mi>Z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mi>s</mi>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>1</mn>
</msub>
<msub>
<mi>s</mi>
<mn>1</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
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<mn>1</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
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<mi>w</mi>
<mn>2</mn>
</msub>
<msub>
<mi>s</mi>
<mn>2</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mn>2</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>3</mn>
</msub>
<msub>
<mi>s</mi>
<mn>3</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mn>3</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>4</mn>
</msub>
<msub>
<mi>s</mi>
<mn>4</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mn>4</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>5</mn>
</msub>
<msub>
<mi>s</mi>
<mn>5</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mn>1</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>6</mn>
</msub>
<msub>
<mi>s</mi>
<mn>6</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mn>2</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>7</mn>
</msub>
<msub>
<mi>s</mi>
<mn>7</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mn>3</mn>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>8</mn>
</msub>
<msub>
<mi>s</mi>
<mn>8</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mn>4</mn>
</mrow>
</msub>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
In formula, w0、wi、wj+4For weight;s0、si、sj+4For scale factor;
σ2 xFor the frequency domain energy of three big evaluation index of ride comfort:
<mrow>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<mi>x</mi>
</msub>
<mo>=</mo>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>w</mi>
<mn>0</mn>
</msub>
</msubsup>
<mrow>
<mo>|</mo>
<mi>H</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mi>&omega;</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>x</mi>
<mo>~</mo>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
</mrow>
</msub>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
</mrow>
<msub>
<mi>G</mi>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
</msub>
<mrow>
<mo>(</mo>
<mi>f</mi>
<mo>)</mo>
</mrow>
<mi>d</mi>
<mi>f</mi>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>=</mo>
<msub>
<mover>
<mi>Z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mi>s</mi>
</msub>
<mo>,</mo>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>,</mo>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mi>i</mi>
<mo>=</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
σxFor the standard deviation of vibratory response amount,For frequency,As amplitude versus frequency characteGx
(f) it is response quautity power spectral density,For the power spectral density of road surface input quantity;
For body vibrations acceleration transmission function:
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<msub>
<mover>
<mi>z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mo>~</mo>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mover>
<mi>Z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>c</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msup>
<mi>s</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<msub>
<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>k</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mi>s</mi>
</mrow>
<mrow>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>m</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<msup>
<mi>s</mi>
<mn>4</mn>
</msup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
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<msub>
<mi>m</mi>
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</mrow>
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</mrow>
<msub>
<mi>c</mi>
<mrow>
<mn>2</mn>
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</mrow>
</msub>
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</msup>
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<mrow>
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<msub>
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<mn>1</mn>
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<mn>2</mn>
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</mrow>
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<msub>
<mi>k</mi>
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<mn>2</mn>
<mi>i</mi>
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<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
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<msub>
<mi>k</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>m</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<msup>
<mi>s</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<msub>
<mi>c</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<mi>s</mi>
<mo>+</mo>
<msub>
<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>k</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>=</mo>
<mi>f</mi>
<mo>,</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>;</mo>
</mrow>
For suspension dynamic deflection transmission function:
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<mo>(</mo>
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<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>z</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>~</mo>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>z</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>z</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
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<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
<mrow>
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<mi>s</mi>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
</mrow>
</mtd>
</mtr>
<mtr>
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<mfrac>
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<msub>
<mi>m</mi>
<mrow>
<mn>2</mn>
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</mrow>
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<mi>s</mi>
</mrow>
<mrow>
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<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>m</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<msup>
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<mn>4</mn>
</msup>
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<mrow>
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<mrow>
<mn>1</mn>
<mi>i</mi>
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</mrow>
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<mi>i</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>k</mi>
<mrow>
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<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
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</mrow>
<msup>
<mi>s</mi>
<mn>2</mn>
</msup>
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<msub>
<mi>c</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
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<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<mi>s</mi>
<mo>+</mo>
<msub>
<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
<mi>k</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>=</mo>
<mi>f</mi>
<mo>,</mo>
<mi>r</mi>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>;</mo>
</mrow>
It is the relative dynamic loading transmission function of wheel:
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>/</mo>
<mi>G</mi>
<mo>~</mo>
<mover>
<mi>q</mi>
<mo>&CenterDot;</mo>
</mover>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>K</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>z</mi>
<mrow>
<mn>1</mn>
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</mrow>
</msub>
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<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>q</mi>
<mn>1</mn>
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<mrow>
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<mi>s</mi>
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</mrow>
<mo>)</mo>
</mrow>
<mrow>
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<mi>Gq</mi>
<mi>i</mi>
</msub>
<mrow>
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</mrow>
</mrow>
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<mo>&lsqb;</mo>
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<mn>1</mn>
<mi>i</mi>
</mrow>
</msub>
<msub>
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<mi>i</mi>
</mrow>
</msub>
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</msup>
<mo>+</mo>
<mrow>
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<mn>1</mn>
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<mrow>
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<mi>i</mi>
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<mrow>
<mn>1</mn>
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<mi>k</mi>
<mrow>
<mn>1</mn>
<mi>i</mi>
</mrow>
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<msub>
<mi>k</mi>
<mrow>
<mn>2</mn>
<mi>i</mi>
</mrow>
</msub>
<mo>&rsqb;</mo>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>=</mo>
<mi>f</mi>
<mo>,</mo>
<mi>r</mi>
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</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
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</mrow>
m1iFor tire quality;m2iFor spring carried mass;k1iFor tire equivalent stiffness;k2iFor active suspension rate;c2iFor Active suspension
Damping;Subscript i is f or r, and f, r represent front and rear wheel respectively;
Step 3), built according to the object function of the performance indications of differential steering module, differential braking module and Active suspension module
The Model for Multi-Objective Optimization of vertical electric wheel truck chassis system;
Step 4), optimized variable, performance indications scope and constraint condition and range are set, based on the algorithms of NSGA- II to chassis system
Calculating is optimized, obtains Optimal Parameters of the chassis system about the optimized variable, and according to obtaining the optimization of optimized variable
Parameter corresponds to parameter to chassis system and is adjusted.
2. the optimization method of electric wheel truck chassis system according to claim 1, it is characterised in that in the step 3)
The Model for Multi-Objective Optimization f (X) of electric wheel truck chassis system is:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>f</mi>
<mo>(</mo>
<mi>X</mi>
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<mstyle>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>3</mn>
</munderover>
</mstyle>
<mfrac>
<mrow>
<msub>
<mi>W</mi>
<mi>i</mi>
</msub>
<msub>
<mi>f</mi>
<mi>i</mi>
</msub>
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<mo>(</mo>
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</mrow>
</mrow>
<msub>
<mi>S</mi>
<mi>i</mi>
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</mfrac>
</mtd>
</mtr>
<mtr>
<mtd>
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<mi>f</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>2</mn>
<msub>
<mi>&pi;&omega;</mi>
<mn>0</mn>
</msub>
</mrow>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
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<mn>0</mn>
</msub>
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<mi>&omega;</mi>
</mrow>
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<mtr>
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<mi>f</mi>
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</msub>
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</mfrac>
<mstyle>
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<msub>
<mi>&omega;</mi>
<mn>0</mn>
</msub>
</msubsup>
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<mi>s</mi>
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</mrow>
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</msubsup>
<mi>d</mi>
<mi>&omega;</mi>
</mrow>
</mrow>
</mstyle>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>f</mi>
<mn>3</mn>
</msub>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
<mo>=</mo>
<mfrac>
<msub>
<mi>w</mi>
<mn>0</mn>
</msub>
<msub>
<mi>s</mi>
<mn>0</mn>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mover>
<mi>Z</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mi>s</mi>
</msub>
</msub>
<mo>+</mo>
<mstyle>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>4</mn>
</munderover>
</mstyle>
<mfrac>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
<msub>
<mi>s</mi>
<mi>i</mi>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
</mrow>
</msub>
</msub>
<mo>+</mo>
<mstyle>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>4</mn>
</munderover>
</mstyle>
<mfrac>
<msub>
<mi>w</mi>
<mrow>
<mi>j</mi>
<mo>+</mo>
<mn>4</mn>
</mrow>
</msub>
<msub>
<mi>s</mi>
<mrow>
<mi>j</mi>
<mo>+</mo>
<mn>4</mn>
</mrow>
</msub>
</mfrac>
<msub>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>F</mi>
<mrow>
<mi>d</mi>
<mi>j</mi>
</mrow>
</msub>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
In formula, f1(X) object function of differential steering module performance index is represented;f2(X) differential braking module performance index is represented
Object function;f3(X) object function of the performance indications of Active suspension module is represented;ω0Represent useful signal in information of road surface
Maximum frequency values, take ω in optimization design0=40Hz;Wi、w0、wi、wj+4For weight;Si、s0、si、sj+4For scale factor;σx
For the standard deviation of vibratory response amount.
3. the optimization method of electric wheel truck chassis system according to claim 2, it is characterised in that in the step 4)
The optimized variable of setting is:
Output shaft and rack and pinion steering gear pinion structure equivalent moment of inertia J are turned in differential steering moduleeWith damping Be、
Steering wheel torque sensor equivalent stiffness Ks, wheel hub motor and wheel set are equivalent in differential steering module and differential braking module
Rotary inertia JeqWith damping Beq, suspension rate coefficient k in Active suspension module2f、k2r, and suspension damping coefficient c2f、c2f。
4. the optimization method of electric wheel truck chassis system according to claim 3, it is characterised in that in the step 4)
The constraints scope of setting is:
(1) in optimization process, the denominator of differential steering sensitivity transmission function should meet the constraints of Routh criterions;
(2) in optimization process, braking deceleration should meet a≤μrg;
(3) in optimization process, to prevent from resonating, suspension dynamic deflection ensures:fcr=(0.6~0.8) fcf, in formula:fcf=mfg/
k2f, fcr=mrg/k2r;
(4) in optimization process, according to the requirement of spacing shifting, relative damping factor meets ξ ∈ [0.25,0.35], wherein,
5. the optimization method of electric wheel truck chassis system according to claim 4, it is characterised in that in the step 4)
The scope of the performance indications of setting is:
In optimization process, the object function of differential braking module performance index should meet 0.006≤f2(X)≤0.021。
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